class_docstr: Tests for the tanh normal distribution.
docstr: Test that the repr function outputs the class name.
docstr_tok: ["Test","that","the","repr","function","outputs","the","class","name","."]
code: def test_tanh_normal_repr(self):
      """Test that the repr function outputs the class name."""
      mean = torch.zeros(1)
      std = torch.ones(1)
      dist = TanhNormal(mean, std)
      assert repr(dist) == "TanhNormal"
  
file_path: garage/tests/garage/torch/distributions/test_tanh_normal_dist.py
imports: import torch
  from garage.torch.distributions import TanhNormal
label_desc: Use image node_id 6 for calling the TestBenchmarkTanhNormalDistribution obj's underlying member method code with example usage: obj.test_tanh_normal_repr() without return types